The aim of this study is to address the gap of a lack of knowledge as to what characteristics of the car sequencing problem actually make finding high quality feasible solutions hard. This is achieved by [id=AE]carrying outdeveloping an Instance Space Analysis [id=AE]for the problemtechnique for the car sequencing problem. The methodology of Instance Space Analysis was originally proposed by [1]}, and has been successfully applied to many problems including combinatorial optimisation [1]}, continuous optimisation [3]}, machine learning classification [4]}, and facial age estimation [5]}. However, it still requires problem-specific design to apply this [id=AE]general approach to the specific problem of car sequencing,powerful technique to the car sequencing problem such as feature extraction and instance generation.
